Wiktionary edits (chr)

This is the bipartite edit network of the Cherokee Wiktionary. It contains users and pages from the Cherokee Wiktionary, connected by edit events. Each edge represents an edit. The dataset includes the timestamp of each edit.

Metadata

Codemchr
Internal nameedit-chrwiktionary
NameWiktionary edits (chr)
Data sourcehttp://dumps.wikimedia.org/
AvailabilityDataset is available for download
Consistency checkDataset passed all tests
Category
Authorship network
Dataset timestamp 2017-10-20
Node meaningUser, article
Edge meaningEdit
Network formatBipartite, undirected
Edge typeUnweighted, multiple edges
Temporal data Edges are annotated with timestamps

Statistics

Size n =195,678
Left size n1 =292
Right size n2 =195,386
Volume m =772,131
Unique edge count m̿ =596,665
Wedge count s =44,160,546,583
Square count q =33,493,483,798
4-Tour count T4 =444,591,250,046
Maximum degree dmax =276,242
Maximum left degree d1max =276,242
Maximum right degree d2max =133
Average degree d =7.891 85
Average left degree d1 =2,644.28
Average right degree d2 =3.951 82
Fill p =0.010 458 1
Average edge multiplicity m̃ =1.294 08
Size of LCC N =195,361
Diameter δ =13
50-Percentile effective diameter δ0.5 =1.517 48
90-Percentile effective diameter δ0.9 =1.931 49
Median distance δM =2
Mean distance δm =2.119 06
Gini coefficient G =0.602 546
Balanced inequality ratio P =0.284 575
Left balanced inequality ratio P1 =0.005 469 28
Right balanced inequality ratio P2 =0.421 993
Relative edge distribution entropy Her =0.620 774
Tail power law exponent γt =8.271 00
Tail power law exponent with p γ3 =8.271 00
p-value p =0.000 00
Left tail power law exponent with p γ3,1 =1.641 00
Left p-value p1 =0.000 00
Right tail power law exponent with p γ3,2 =8.931 00
Right p-value p2 =0.000 00
Spectral norm α =928.590
Algebraic connectivity a =0.020 803 3
Spectral separation |λ1[A] / λ2[A]| =2.484 04
Controllability C =195,108
Relative controllability Cr =0.997 169

Plots

Fruchterman–Reingold graph drawing

Degree distribution

Cumulative degree distribution

Lorenz curve

Spectral distribution of the adjacency matrix

Spectral distribution of the normalized adjacency matrix

Spectral distribution of the Laplacian

Spectral graph drawing based on the adjacency matrix

Spectral graph drawing based on the Laplacian

Spectral graph drawing based on the normalized adjacency matrix

Degree assortativity

Zipf plot

Hop distribution

Edge weight/multiplicity distribution

Temporal distribution

Diameter/density evolution

Matrix decompositions plots

Downloads

References

[1] Jérôme Kunegis. KONECT – The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion, pages 1343–1350, 2013. [ http ]
[2] Wikimedia Foundation. Wikimedia downloads. http://dumps.wikimedia.org/, January 2010.